A techno‐economic assessment and optimization of Dumat Al‐Jandal wind farm in Kingdom of Saudi Arabia
Abstract One major criterion in the selection of wind farm location is the cost of energy (COE). COE is the cost of producing 1 kWh electric energy on an annual basis. Mathematical model of COE includes site‐specific constants (such as reference height, mean wind speed, shape factors, wind shear coe...
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| Format: | Article |
| Language: | English |
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Wiley
2023-12-01
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| Series: | Energy Science & Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ese3.1602 |
| _version_ | 1827584516978376704 |
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| author | Haykel Marouani Yasser Fouad Hatem Mrad |
| author_facet | Haykel Marouani Yasser Fouad Hatem Mrad |
| author_sort | Haykel Marouani |
| collection | DOAJ |
| description | Abstract One major criterion in the selection of wind farm location is the cost of energy (COE). COE is the cost of producing 1 kWh electric energy on an annual basis. Mathematical model of COE includes site‐specific constants (such as reference height, mean wind speed, shape factors, wind shear coefficient, average temperature, and turbine altitude) and wind turbine parameters (such as maximum power coefficient, total loss of energy, cut‐in/cut‐off wind speed, rated wind speed, rated power, and the fix charge rate). In this work, we evaluate the COE of an onshore wind farm located at Dumat Al‐Jandal (Saudi Arabia) according to the hub height and rotor size. The 99 Vestas turbines can be mounted at a hub height ranging from 105 to 166 m with available rotor diameters of 105, 112, 117, 126, 136, 150, 155, or 163 m. Particle swarm optimization with a normal distribution is used to optimize the COE. Results show that COE is varying around the average value of $0.029335/kWh by ±$0.00021/kWh. The minimum COE was achieved with a rotor diameter of 150 m at hub height of 105 m. COE increases with the increase of hub height. At 105 m‐hub height, COE is almost the same, with a variation of 0.03% (It ranges between $0.029125/kWh and $0.029133/kWh). COE is more sensitive to rotor size than hub height. This investigation revealed that the COE estimation is in a range of 39%–48% greater than that announced COE by the developing project consortium. |
| first_indexed | 2024-03-08T23:32:31Z |
| format | Article |
| id | doaj.art-3051b2ce13c54143a70a1c7c33c3ba64 |
| institution | Directory Open Access Journal |
| issn | 2050-0505 |
| language | English |
| last_indexed | 2024-03-08T23:32:31Z |
| publishDate | 2023-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | Energy Science & Engineering |
| spelling | doaj.art-3051b2ce13c54143a70a1c7c33c3ba642023-12-14T10:54:26ZengWileyEnergy Science & Engineering2050-05052023-12-0111124398440710.1002/ese3.1602A techno‐economic assessment and optimization of Dumat Al‐Jandal wind farm in Kingdom of Saudi ArabiaHaykel Marouani0Yasser Fouad1Hatem Mrad2National Engineering School of Monastir, Laboratoire de Génie Mécanique University of Monastir Monastir TunisiaDepartment of Applied Mechanical Engineering, College of Applied Engineering, Muzahimiyah Branch King Saud University Riyadh Saudi ArabiaSchool of Engineering University of Québec in Abitibi‐Témiscamingue (UQAT) Rouyn‐Noranda Québec CanadaAbstract One major criterion in the selection of wind farm location is the cost of energy (COE). COE is the cost of producing 1 kWh electric energy on an annual basis. Mathematical model of COE includes site‐specific constants (such as reference height, mean wind speed, shape factors, wind shear coefficient, average temperature, and turbine altitude) and wind turbine parameters (such as maximum power coefficient, total loss of energy, cut‐in/cut‐off wind speed, rated wind speed, rated power, and the fix charge rate). In this work, we evaluate the COE of an onshore wind farm located at Dumat Al‐Jandal (Saudi Arabia) according to the hub height and rotor size. The 99 Vestas turbines can be mounted at a hub height ranging from 105 to 166 m with available rotor diameters of 105, 112, 117, 126, 136, 150, 155, or 163 m. Particle swarm optimization with a normal distribution is used to optimize the COE. Results show that COE is varying around the average value of $0.029335/kWh by ±$0.00021/kWh. The minimum COE was achieved with a rotor diameter of 150 m at hub height of 105 m. COE increases with the increase of hub height. At 105 m‐hub height, COE is almost the same, with a variation of 0.03% (It ranges between $0.029125/kWh and $0.029133/kWh). COE is more sensitive to rotor size than hub height. This investigation revealed that the COE estimation is in a range of 39%–48% greater than that announced COE by the developing project consortium.https://doi.org/10.1002/ese3.1602cost of energydesign optimizationKingdom of Saudi Arabiaparticle swarm optimizationwind turbine |
| spellingShingle | Haykel Marouani Yasser Fouad Hatem Mrad A techno‐economic assessment and optimization of Dumat Al‐Jandal wind farm in Kingdom of Saudi Arabia Energy Science & Engineering cost of energy design optimization Kingdom of Saudi Arabia particle swarm optimization wind turbine |
| title | A techno‐economic assessment and optimization of Dumat Al‐Jandal wind farm in Kingdom of Saudi Arabia |
| title_full | A techno‐economic assessment and optimization of Dumat Al‐Jandal wind farm in Kingdom of Saudi Arabia |
| title_fullStr | A techno‐economic assessment and optimization of Dumat Al‐Jandal wind farm in Kingdom of Saudi Arabia |
| title_full_unstemmed | A techno‐economic assessment and optimization of Dumat Al‐Jandal wind farm in Kingdom of Saudi Arabia |
| title_short | A techno‐economic assessment and optimization of Dumat Al‐Jandal wind farm in Kingdom of Saudi Arabia |
| title_sort | techno economic assessment and optimization of dumat al jandal wind farm in kingdom of saudi arabia |
| topic | cost of energy design optimization Kingdom of Saudi Arabia particle swarm optimization wind turbine |
| url | https://doi.org/10.1002/ese3.1602 |
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